5 stars (An extraordinary text : precise , complete and expressive!) - This book was my battlehorse when I was an Engineer Industrial student in the eighties . Stiil I bought the second Edition , this one has a visible quality above the others . His nice presentation , the increased level of difficult in every chapter . Useful for those Enginnering students , Pharmace, Administration in Pre Grade and Post Grade students . 4 stars (Good book for those who know what they're doing) - I really enjoy using this as a reference book when I need to look something up about inference. Everything in the book is highlighted well and gives clear and concise answer. If you're a straight A student in Math, there should be nothing confusing about this text. 4 stars (Worked a lot better for me than the others) - I thought this was a pretty good text for an introduction to statistics with a modicum of calculus (I used the 5th edition). I am a biologist and had taken statistics without calculus (VERY cookbook approach the first time through) so maybe knowing where the math was eventually taking me was the difference. I am very (brutally) applied in my interest in statistics (use it daily to model fish populations, estimate critter abundance, etc.) so I could see where I would not agree with the mathematician who said it killed the beauty of the subject (although I am not gifted enough in math to see the beauty of statistics; I honestly would like to be). Also I did cover the text in two classes (1st up through calculating a confidence interval, 2nd on the general linear model) so that may have made a difference as well - if the others were forced to march through all of the material in the book in 18 weeks. I notice that a lot of the reviewers are computer scientists (ones in my class hated the subject matter - I was not sure why it was a required course for them anyway) or mathematicians. Anyone else out there from the natural or physical sciences (e.g., biology, chemistry, g... Prentice Hall :: Mathematics & Statistics :: Statistical methods :: Science&Mathematics :: Probability & Statistics - General :: Probabilities :: Mathematics :: Mathematical Stati :: Probability and Statistics for Engineers and Scientists (7th Edition)
2 stars (Too much theory) - Relevant material is buried underneath too much theory. Not enough examples. I bought this book to supplement another book to and I had to buy another one to supplement this one. 5 stars (Great book) - Probably one of the most elegantly written book that I have ever read. I am not sure probability and statistics can be introduced with a greater degree of clarity while mainitaining mathematical rigor. Absolutely beautiful flow and crisp results. 1 stars (Terrible book) - As a starter, coming from a non-mathematics background, I will recommend something else. The book goes to advanced topics pretty quickly, leaving a lot to comprehend. ... Addison Wesley :: Business & Economics & Statistics :: Statistics :: Science&Mathematics :: Probability & Statistics - General :: Probabilities :: Mathematics :: Mathematical Stati :: Probability and Statistics (3rd Edition)
5 stars (It is an excellent textbook. Strongly recommended!) - [1] It is a very very good textbook of frequentist statistics, well self-organized. [2] The mathematics is precise and clear. [3] Anyone who is interested in the classical statistics may need such an excellent reference at hand. [4] If you decide to buy it, you'd better to check the website http://www.campusi.com/, where sometime you can find a surprise. 4 stars (Explains many topics well, where others fail) - This book was the recommended companion to my math stat's required textbook. In almost every case where I didn't understand the explanation given in lecture or in the main textbook, I could understand this book's explanation. I cannot vouch for the entire textbook, but I would not have understood MLE without it. The one star missing is because of the book's tendency to mention earlier sections of the book, which was frustrating since I was using it as a reference. Incidentally, I used this edition, but I didn't pay even close to the price here, so definitely comparison shop. 4 stars (A Good Book) - Overall, this book is a solid introduction to mathematical statistics. Exposition is clear and it fully motivates all concepts. I really only have one complaint: this book omits a few topics. A relatively minor example is the absence of the cumulant generating function. More disturbingly is that it does not have a full discussion of the multi-normal distribution (possibly to avoid some non-trivial linear algebra?). However, being that the book is otherwise quite complete and these topics can be found elsewhere these are rather annoyances than fatal flaws. ... Duxbury Press :: Mathematics & Statistics :: Science&Mathematics :: Probability & Statistics - General :: Probabilities :: Mathematics :: Mathematical statistics :: Roger L Berge :: Statistical Inference
Barcode Software/ Probabilities free trial 
